Antonio Iera

Ph.D.
Università degli Studi Mediterranea di Reggio Calabria · Dipartimento di Ingegneria dell'Informazione, delle Infrastrutture, e dell'Energia Sostenibile (DIIES)
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Topics (8)

Research experience

  • Dec 1998–
    present
    Research: Università degli Studi Mediterranea di Reggio Calabria
    Università degli Studi Mediterranea di Reggio Calabria · Department DIIES · Telecommunications
    Italy · Reggio di Calabria
  • Sep 1994–
    Oct 1995
    Research: ATDMA RACE Project
    Siemens AG, Munich, Germany
    Germany · Munich

Education

  • Oct 1993–
    Oct 1996
    Università degli studi della Calabria
    Telecommunications · Ph.D.
    Italy · Rende

Other

  • Languages
    Italian
    English
    German (basic)
  • Scientific Memberships
    IEEE Senior Member
    AEIT Member

Publications (173) View all

  • Conference Proceeding: A subjective model for trustworthiness evaluation in the social Internet of Things
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    ABSTRACT: The integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things (SIoT) paradigm, according to which the objects are capable of establishing social relationships in an autonomous way with respect to their owners. The benefits are those of improving scalability in information/service discovery when the SIoT is made of huge numbers of heterogeneous nodes, similarly to what happens with social networks among humans. In this paper we focus on the problem of understanding how the information provided by the other members of the SIoT has to be processed so as to build a reliable system on the basis of the behavior of the objects. We define a subjective model for the management of trustworthiness which builds upon the solutions proposed for P2P networks. Each node computes the trustworthiness of its friends on the basis of its own experience and on the opinion of the common friends with the potential service providers. We employ a feedback system and we combine the credibility and centrality of the nodes to evaluate the trust level. Preliminary simulations show the benefits of the proposed model towards the isolation of almost any malicious node in the network.
    IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2012; 01/2012
  • Source
    Article: The Social Internet of Things (SIoT) – When social networks meet the Internet of Things: Concept, architecture and network characterization
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    ABSTRACT: Recently there has been quite a number of independent research activities that investigated the potentialities of integrating social networking concepts into Internet of Things (IoT) solutions. The resulting paradigm, named Social Internet of Things (SIoT), has the potential to support novel applications and networking services for the IoT in more effective and efficient ways. In this context, the main contributions of this paper are the following: (i) we identify appropriate policies for the establishment and the management of social relationships between objects in such a way that the resulting social network is navigable; (ii) we describe a possible architecture for the IoT that includes the functionalities required to integrate things into a social network; (iii) we analyze the characteristics of the SIoT network structure by means of simulations.
    Computer Networks 01/2012; · 1.20 Impact Factor
  • Source
    Article: Fair Cost Allocation in Cellular-Bluetooth Cooperation Scenarios
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    ABSTRACT: A promising paradigm, that answers crucial needs raised by emerging wireless applications, foresees the cooperation of multiple terminals over short-range wireless links while downloading multimedia contents over long-range cellular connections. Energy consumption reduction is just one of the potential benefits the cited communication paradigm might offer. Undoubtedly, the main issue raised by the new paradigm is to develop a model of cooperative behavior, which can best meet the expectations of all the cooperating entities. Unfortunately, classic minimization problem solutions are usually conflicting with the concept of fairness, as it is sensed by rational players. A joint use of classical optimization and game theory based approaches may contribute to overcome the highlighted dichotomy between user satisfaction and stable minimal energy cost allocations. This paper studies the interactions among users in the presence of a cooperative file-sharing service and seeks appropriate solutions to achieve the lowest energy consumption is possible while motivating users to cooperate.
    IEEE Transactions on Wireless Communications 09/2011; · 2.59 Impact Factor
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    Conference Proceeding: Data seeding in nomadic cooperative groups
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    ABSTRACT: Wireless cooperation is emerging as a viable approach for next generation networks to offer important benefits in terms of content transfer delay, data rate, energy consumption, and cell capacity. One of the possible applications of a wireless user cooperation paradigm is represented by the provision of content sharing services. Data is seeded into a cooperative cluster through cellular links while short-range links are used to distribute data to all the interested nodes. Besides showing the beneficial effects of cooperation, this paper focuses on the best way to seed information into such a cluster of nodes and on a solution offering benefits in terms of either the time or the energy consumption for the service. Starting from static environments, the potentialities offered by an ad-hoc conceived Genetic Algorithm (GA) are shown. The analysis is then extended to the more realistic nomadic environments with low speed pedestrian mobility for the nodes.
    Computers and Communications (ISCC), 2011 IEEE Symposium on; 08/2011
  • Source
    Article: The Internet of things [Guest Editorial]
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    ABSTRACT: In the last few years, a stimulating idea is fast emerging in the wireless scenario: the pervasive presence around us of a variety of ¿things¿ or ¿objects¿ such as devices, sensors, actuators, and mobile phones, which, through unique addressing schemes, are able to interact with each other and cooperate with their neighboring ¿smart¿ components to reach common goals. This novel paradigm, named the ¿Internet of Things¿ (IoT), continues on the path set by the concept of the smart environment and paves the way to the deployment of numerous applications with a significant impact on many fields of future everyday life.
    IEEE Wireless Communications 01/2011; · 2.58 Impact Factor

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